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Planning to build a team data science environment for training machine learning models on datasets larger than 20 GB, you have specific requirements: using Caffe2 or Chainer frameworks and enabling data scientists to work on personal devices in both connected and disconnected network environments, with the ability to update machine learning pipelines when connected. Which environment should be selected for these needs?